{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5371a9bb",
   "metadata": {},
   "source": [
    "# WandB Tracing\n",
    "\n",
    "There are two recommended ways to trace your LangChains:\n",
    "\n",
    "1. Setting the `LANGCHAIN_WANDB_TRACING` environment variable to \"true\".\n",
    "1. Using a context manager with tracing_enabled() to trace a particular block of code.\n",
    "\n",
    "**Note** if the environment variable is set, all code will be traced, regardless of whether or not it's within the context manager."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "17c04cc6-c93d-4b6c-a033-e897577f4ed1",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-18T12:47:46.580776Z",
     "start_time": "2023-05-18T12:47:46.577833Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "from langchain_community.callbacks import wandb_tracing_enabled\n",
    "\n",
    "os.environ[\"LANGCHAIN_WANDB_TRACING\"] = \"true\"\n",
    "\n",
    "# wandb documentation to configure wandb using env variables\n",
    "# https://docs.wandb.ai/guides/track/advanced/environment-variables\n",
    "# here we are configuring the wandb project name\n",
    "os.environ[\"WANDB_PROJECT\"] = \"langchain-tracing\"\n",
    "\n",
    "from langchain.agents import AgentType, initialize_agent, load_tools\n",
    "from langchain_openai import OpenAI"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "1b62cd48",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-18T12:47:47.445229Z",
     "start_time": "2023-05-18T12:47:47.436424Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Agent run with tracing. Ensure that OPENAI_API_KEY is set appropriately to run this example.\n",
    "\n",
    "llm = OpenAI(temperature=0)\n",
    "tools = load_tools([\"llm-math\"], llm=llm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bfa16b79-aa4b-4d41-a067-70d1f593f667",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-18T12:48:01.816137Z",
     "start_time": "2023-05-18T12:47:49.109574Z"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "agent = initialize_agent(\n",
    "    tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True\n",
    ")\n",
    "\n",
    "agent.run(\"What is 2 raised to .123243 power?\")  # this should be traced\n",
    "# A url with for the trace sesion like the following should print in your console:\n",
    "# https://wandb.ai/<wandb_entity>/<wandb_project>/runs/<run_id>\n",
    "# The url can be used to view the trace session in wandb."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "fe833c33-033f-4806-be0c-cc3d147db13d",
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-05-18T12:48:25.909223Z",
     "start_time": "2023-05-18T12:48:09.657895Z"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3m I need to use a calculator to solve this.\n",
      "Action: Calculator\n",
      "Action Input: 5^.123243\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mAnswer: 1.2193914912400514\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
      "Final Answer: 1.2193914912400514\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n",
      "\n",
      "\n",
      "\u001b[1m> Entering new AgentExecutor chain...\u001b[0m\n",
      "\u001b[32;1m\u001b[1;3m I need to use a calculator to solve this.\n",
      "Action: Calculator\n",
      "Action Input: 2^.123243\u001b[0m\n",
      "Observation: \u001b[36;1m\u001b[1;3mAnswer: 1.0891804557407723\u001b[0m\n",
      "Thought:\u001b[32;1m\u001b[1;3m I now know the final answer.\n",
      "Final Answer: 1.0891804557407723\u001b[0m\n",
      "\n",
      "\u001b[1m> Finished chain.\u001b[0m\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'1.0891804557407723'"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Now, we unset the environment variable and use a context manager.\n",
    "if \"LANGCHAIN_WANDB_TRACING\" in os.environ:\n",
    "    del os.environ[\"LANGCHAIN_WANDB_TRACING\"]\n",
    "\n",
    "# enable tracing using a context manager\n",
    "with wandb_tracing_enabled():\n",
    "    agent.run(\"What is 5 raised to .123243 power?\")  # this should be traced\n",
    "\n",
    "agent.run(\"What is 2 raised to .123243 power?\")  # this should not be traced"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
